ACV Auctions (ACVA) Accumulated Expenses (2020 - 2026)
ACV Auctions' Accumulated Expenses was $8.84 million in Q2 2026, down 26.9% from $12.1 million a year earlier and down 17.6% from the prior quarter.
ACV Auctions (ACVA) Accumulated Expenses (2020 - 2026) Analysis & Trends
At the end of FY2025, Accumulated Expenses at ACV Auctions came in at $9.31 million, down 44.3% from FY2024.
- Accumulated Expenses shows a five-year compound annual growth rate of 2.8% (FY2020 to FY2025).
- In earlier years, Accumulated Expenses was $16.73 million in FY2024 (+36.6%), $12.25 million in FY2023 (+21.8%), $10.05 million in FY2022 (-16.0%) and $11.96 million in FY2021 (+47.5%).
- The Q2 2026 figure marks the lowest quarterly Accumulated Expenses since Q4 2020.
- Compared with a year earlier, Accumulated Expenses has declined for four straight quarters, with an average decline of 5.3% over the last eight quarters.
- The best year-over-year quarter for Accumulated Expenses over five years was Q4 2021 (growth of 47.5%); the worst was Q4 2025 (a decline of 44.3%).
- Per Business Quant data, ACVA's Accumulated Expenses in the three quarters before Q2 2026 was $10.73 million (Q1 2026), $9.31 million (Q4 2025) and $11.17 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Alphabet | 4,185.47 Bn | 3,943.00 Bn | 73.85 Bn |
| 2 | Meta Platforms | 1,794.56 Bn | 1,497.08 Bn | 49.47 Bn |
| 3 | Netflix | 292.71 Bn | 252.90 Bn | 6.52 Bn |
| 4 | Alibaba Group Holding | 251.74 Bn | 65.51 Bn | 15.11 Bn |
| 5 | Shopify | 221.57 Bn | 198.76 Bn | 1.71 Bn |
| 6 | Uber Technologies | 142.45 Bn | 114.25 Bn | 6.38 Bn |
| 7 | Booking Holdings | 124.83 Bn | 57.88 Bn | - |
| 8 | PDD Holdings | 113.76 Bn | -130.01 Bn | 9.45 Bn |
| 9 | Spotify Technology | 106.73 Bn | 64.23 Bn | 1.86 Bn |
| 10 | ACV Auctions | 3.69 Bn | 2.57 Bn | 106.72 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 8.84 Mn |
| Mar 31, 2026 | 10.73 Mn |
| Dec 31, 2025 | 9.31 Mn |
| Sep 30, 2025 | 11.17 Mn |
| Jun 30, 2025 | 12.10 Mn |
| Mar 31, 2025 | 13.09 Mn |
| Dec 31, 2024 | 16.73 Mn |
| Sep 30, 2024 | 15.04 Mn |
| Jun 30, 2024 | 9.93 Mn |
| Mar 31, 2024 | 14.13 Mn |
| Dec 31, 2023 | 12.25 Mn |
| Sep 30, 2023 | 12.37 Mn |
| Jun 30, 2023 | 11.36 Mn |
| Mar 31, 2023 | 10.22 Mn |
| Dec 31, 2022 | 10.05 Mn |
| Sep 30, 2022 | 11.97 Mn |
| Jun 30, 2022 | 12.00 Mn |
| Mar 31, 2022 | 11.31 Mn |
| Dec 31, 2021 | 11.96 Mn |
| Sep 30, 2021 | 12.99 Mn |
ACV Auctions Accumulated Expenses API
Pull this series into your own models, spreadsheets and apps with the Business Quant
Historical Metrics API. The request below matches the chart above — change the
frequency, period or values and it follows. Swap YOUR_API_KEY for your own key.
https://data.businessquant.com/historic?slug=accumulated-expenses&ticker=ACVA&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "accumulated-expenses", "ticker": "ACVA", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()
const res = await fetch("https://data.businessquant.com/historic?slug=accumulated-expenses&ticker=ACVA&period=max&api_key=YOUR_API_KEY");
const data = await res.json();